课题基金 / 基金详情

Statistical and Data Management Core

Statistical and Data Management Core
统计和数据管理核心
批准号:
10592295
负责人:
Marco Geraci
金额:
$45.13万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-03-15 至 2025-02-28

项目摘要

项目成果

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中文摘要
翻译
儿童福祉研究中心专注于预防和干预研究,旨在减少 2-10岁儿童的精神、情绪和行为问题以及不健康的生活方式行为的风险。 预防性干预结果试验是该中心研究活动的主要部分。一位批评者 该中心的组成部分是统计和数据管理核心设施(SDM核心),它支持 中心的研究努力,特别是早期调查人员。预防性干预结果研究, 通常是在现场进行,而不是在实验室或医院环境中提供,这使得 对个人调查员直接可用的资源和能力的需求。对于该中心的早期- 阶段调查员,特别是SDM提供数据管理和统计分析服务 核心是使预防研究可行的关键,这样调查人员就可以专注于他们的所有项目 专门用于招聘、干预措施实施和数据收集的资源。SDM核心是 组织和配备人员,以解决预防性干预结果研究中出现的许多问题,例如 电力问题、多层次设计、审核和调解分析、丢失数据问题、编译器 解决干预依从性差异的平均因果效应。该中心的调查人员以及 该机构的其他预防研究人员从经验丰富的统计和其他方面受益匪浅 组成SDM核心的技术人员。可持续发展管理核心的具体目标是:(1)建立 设施和聚集高质量统计和数据所需的技术和科学人员-- 与预防性干预临床试验早期研究人员相关的管理服务 和相关研究;(2)支持由中心早期调查人员领导的研究项目, 涉及提供:(A)设计和分析规划咨询;(B)数据管理服务;(C) 统计方案编制和分析,以及(D)协助解释分析;(3)举办讲习班 培训和更新方法和统计方面的预防相关发展,使中心能够及早- 职业和资深科学家以及校园内的其他预防科学家,以更好地了解新的或 复杂方法;(4)改进统计分析和应用中的优化方法和应用 在该中心预防研究的背景下,制定方案。SDM核心支持有助于实现 中心的任务是:(A)促进有利于早期调查人员的科学环境 转向独立研究状态;(B)利用并使调查人员了解其方法 与预防性干预试验有关的进展;以及(C)加强该机构满足 世界卫生组织开展的高质量预防性干预试验的数据管理和统计要求 特别是早期调查人员。
英文摘要
The Research Center for Child Well-Being focuses on prevention and intervention research aimed at reducing risk for mental, emotional, and behavioral problems and unhealthy lifestyle behaviors in children ages 2-10. Preventive intervention outcome trials constitute a major portion of the Center’s research activities. A critical component of the Center is the Statistical and Data Management Core facility (SDM Core), which supports the Center’s research efforts and especially the early-stage investigators. Preventive intervention outcome studies, which are generally field-based rather than delivered in a laboratory or hospital setting, make substantial demands on the resources and capacities directly available to individual investigators. For the Center’s early- stage investigators in particular, the provision of data management and statistical analytic services by the SDM Core is essential in making prevention studies feasible, so that the investigators can focus all of their project resources exclusively on recruitment, intervention implementation, and data collection. The SDM Core is structured and staffed to address the many issues arising in preventive intervention outcome studies, such as power concerns, multi-level designs, moderation and mediation analyses, missing data issues, complier average causal effect to address differences in intervention adherence. The Center investigators, as well as other prevention researchers at the institution, benefit substantially from the experienced statistical and other technical personnel comprising the SDM Core. The specific aims for the SDM Core are: (1) To establish the facilities and assemble the technical and scientific personnel necessary for high-quality statistical and data- management services pertinent to the early-stage investigators’ conduct of preventive intervention clinical trials and related studies; (2) To support research projects led by the Center’s early-stage investigators, which involves provision of: (a) consultation for design and analytic planning, (b) data management services, (c) statistical programming and analysis, and (d) assistance in interpretation of analyses; (3) To provide workshop training and updates on prevention-related developments in methodology and statistics to enable Center early- career and senior scientists, as well as other prevention scientists on campus, to better understand new or complex methods; (4) To advance ways to optimize methods and applications in statistical analyses and programming, in the context of the Center’s prevention research. SDM Core support helps to enable the Center’s mission by: (a) contributing to the scientific environment conducive to early-stage investigators moving to independent research status; (b) utilizing, and keeping investigators abreast of, methodological advances pertinent to preventive intervention trials; and, (c) strengthening the institution’s capacity to meet the data-management and statistical requirements of high-quality preventive intervention trials conducted by the early-stage investigators in particular.
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Statistical and Data Management Core
Modeling and estimation of nonlinear quantile effects in child health research
海外基金